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Federated Doubly Stochastic Kernel Learning for Vertically Partitioned
  Data

Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data

14 August 2020
Bin Gu
Zhiyuan Dang
Xiang Li
Heng-Chiao Huang
    FedML
ArXivPDFHTML

Papers citing "Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data"

12 / 12 papers shown
Title
Effective and Efficient Cross-City Traffic Knowledge Transfer: A Privacy-Preserving Perspective
Effective and Efficient Cross-City Traffic Knowledge Transfer: A Privacy-Preserving Perspective
Zhihao Zeng
Ziquan Fang
Yuting Huang
Lu Chen
Yunjun Gao
163
0
0
15 Mar 2025
Quadruply Stochastic Gradient Method for Large Scale Nonlinear
  Semi-Supervised Ordinal Regression AUC Optimization
Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization
Wanli Shi
Bin Gu
Xinag Li
Heng-Chiao Huang
116
13
0
24 Dec 2019
Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised
  AUC Optimization
Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization
Wanli Shi
Bin Gu
Xiang Li
Xiang Geng
Heng-Chiao Huang
47
15
0
29 Jul 2019
Scalable Semi-Supervised SVM via Triply Stochastic Gradients
Scalable Semi-Supervised SVM via Triply Stochastic Gradients
Xiang Geng
Bin Gu
Xiang Li
Wanli Shi
Guansheng Zheng
Heng-Chiao Huang
25
11
0
26 Jul 2019
Federated Forest
Federated Forest
Yang Liu
Yingting Liu
Zhijie Liu
Junbo Zhang
Chuishi Meng
Yu Zheng
FedML
67
145
0
24 May 2019
SecureBoost: A Lossless Federated Learning Framework
SecureBoost: A Lossless Federated Learning Framework
Kewei Cheng
Tao Fan
Yilun Jin
Yang Liu
Tianjian Chen
Dimitrios Papadopoulos
Qiang Yang
FedML
95
583
0
25 Jan 2019
Entity Resolution and Federated Learning get a Federated Resolution
Entity Resolution and Federated Learning get a Federated Resolution
Richard Nock
Stephen Hardy
Wilko Henecka
Hamish Ivey-Law
Giorgio Patrini
Guillaume Smith
Brian Thorne
FedML
76
87
0
11 Mar 2018
Feature-Distributed SVRG for High-Dimensional Linear Classification
Feature-Distributed SVRG for High-Dimensional Linear Classification
Gong-Duo Zhang
Shen-Yi Zhao
Hao Gao
Wu-Jun Li
38
17
0
10 Feb 2018
Private federated learning on vertically partitioned data via entity
  resolution and additively homomorphic encryption
Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption
Stephen Hardy
Wilko Henecka
Hamish Ivey-Law
Richard Nock
Giorgio Patrini
Guillaume Smith
Brian Thorne
FedML
55
536
0
29 Nov 2017
Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients
Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients
Bo Xie
Yingyu Liang
Le Song
39
43
0
14 Apr 2015
Scalable Kernel Methods via Doubly Stochastic Gradients
Scalable Kernel Methods via Doubly Stochastic Gradients
Bo Dai
Bo Xie
Niao He
Yingyu Liang
Anant Raj
Maria-Florina Balcan
Le Song
121
230
0
21 Jul 2014
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient
  Descent
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
Feng Niu
Benjamin Recht
Christopher Ré
Stephen J. Wright
191
2,273
0
28 Jun 2011
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